Exploring Factors Associated with Late Urinary Toxicity After Prostate Stereotactic Body Radiotherapy: Findings from the PACE-B Study
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Stereotactic body radiotherapy (SBRT) is increasingly used for localised prostate cancer but is associated with higher urinary toxicity within 2 yr. This study identifies factors associated with late urinary toxicity after SBRT. METHODS: PACE-B SBRT patients with dose-volume histogram data were analysed. All had low/intermediate-risk prostate cancer treated with SBRT alone (36.25 Gy per five fractions to planning target volume and 40 Gy per five fractions to clinical target volume). Doses to the surrogate/contoured urethra, bladder trigone, and bladder were extracted. Logistic regression identified factors associated with late toxicity. Outcomes of interest were Common Terminology Criteria for Adverse Events (CTCAE) grade 2+ urinary toxicity and International Prostate Symptom Score (IPSS; with imputation) +7 at 2 yr (a ≥7-point rise above baseline). KEY FINDINGS AND LIMITATIONS: Of 390 patients, 357 had 2-yr CTCAE data; 12% (n = 44) experienced grade 2+ urinary toxicity. Associated factors included higher baseline IPSS (odds ratio [OR] 1.11, 95% confidence interval or CI [1.05-1.18], p = 0.001), baseline urinary medication use (OR 2.32, 95% CI [1.09-4.95], p = 0.03), and grade 2+ acute urinary toxicity (OR 3.15, 95% CI [1.35-7.37], p = 0.008). Conventional LINAC (CL)-SBRT without fiducials and CyberKnife SBRT were associated with lower odds of grade 2+ urinary toxicity at 2 yr compared with CL-SBRT with fiducials; however, this association was not observed when using IPSS as the endpoint. No association was seen between urinary substructure dose and late toxicity. CONCLUSIONS AND CLINICAL IMPLICATIONS: Baseline urinary symptoms are associated with late urinary toxicity; patients with worse symptoms should be counselled on their elevated risk and consider moderate hypofractionation. The observed association between treatment technique and toxicity may reflect variations in urinary medication prescribing practices and warrants further validation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".